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Conference Paper Estimation of Internal and External Parameters for Camera Calibration Using 1D Pattern
Cited 7 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Xiangjian He, Huaifeng Zhang, Nam Ho Hur, Jin Woong Kim, Qiang Wu, Tae One Kim
Issue Date
2006-11
Citation
International Conference on Video and Signal Based Surveillance (AVSS) 2006, pp.1-6
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/AVSS.2006.48
Abstract
Camera calibration is to estimate the intrinsic and extrinsic parameters of a camera. Most of object-based calibration methods used 3D or 2D pattern. A novel and more flexible 1D object-based calibration was introduced only a couple of years ago, but merely for estimation of intrinsic parameters. The estimation of extrinsic papers is essential when multiple cameras are involved for simultaneously taking images from different view angles and when the knowledge of relative locations between the cameras is required. Though it is relatively simple using 2D or 3D calibration pattern, the estimation of extrinsic parameters is not obvious using 1D pattern. In this paper, we will perform a 1D camera calibration involving both intrinsic and extrinsic parameters. © 2006 IEEE.
KSP Keywords
3D calibration, Calibration method, Camera Calibration, Internal and external, Object-based, external parameters, intrinsic parameters, multiple cameras